Machine Learning Engineer

We are a technology consultancy working with enterprise B2B clients across the US and Europe — manufacturing, distribution, high-tech. Our teams build and integrate complex digital commerce solutions on platforms like SAP, Salesforce, and Shopify. The project is long-term and actively growing. Responsibilities Designing, building, and optimizing machine learning models for production use, with a focus on recommender systems. Develop and maintain scalable ML pipelines, including data processing, training, evaluation, and deployment. Work with large datasets to extract insights and improve model performance. Collaborate with cross-functional teams to integrate ML solutions into production systems. Continuously improve model performance through experimentation, tuning, and monitoring. Ensure reliability and scalability of ML systems in cloud environments. Qualifications 5+ years of hands‑on experience in machine learning engineering Strong proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn, XGBoost, etc.) Solid experience with deep learning, including model architecture, training, and optimization Proven experience designing and deploying recommender systems Hands‑on experience with AWS SageMaker and the broader AWS ML ecosystem Practical experience building and maintaining data pipelines and ML workflows Experience working with production ML systems and MLOps practices What We Offer Fully remote work International team with clear processes Paid vacation, holidays, and sick leave Apply Now Send us your CV and we will get back to you. #J-18808-Ljbffr